| How the world’s collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter T Alshaabi, MV Arnold, JR Minot, JL Adams, DR Dewhurst, AJ Reagan, ... PloS one 16 (1), e0244476, 2021 | 21 | 2021 |
| Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ... arXiv preprint arXiv:2002.09770, 2020 | 5 | 2020 |
| Fame and Ultrafame: Measuring and comparing daily levels ofbeing talked about'for United States' presidents, their rivals, God, countries, and K-pop PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ... arXiv preprint arXiv:1910.00149, 2019 | 4 | 2019 |
| The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009--2020 T Alshaabi, DR Dewhurst, JR Minot, MV Arnold, JL Adams, CM Danforth, ... arXiv preprint arXiv:2003.03667, 2020 | 3 | 2020 |
| Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, AJ Reagan, ... arXiv preprint arXiv:2008.07301, 2020 | 2 | 2020 |
| Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ... arXiv preprint arXiv:2008.13078, 2020 | 1 | 2020 |
| Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter T Alshaabi, JL Adams, MV Arnold, JR Minot, DR Dewhurst, AJ Reagan, ... arXiv preprint arXiv:2007.12988, 2020 | 1 | 2020 |
| Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ... arXiv preprint arXiv:2008.11305, 2020 | | 2020 |
| Hurricanes and hashtags: Characterizing online collective attention for natural disasters MV Arnold, DR Dewhurst, T Alshaabi, JR Minot, JL Adams, CM Danforth, ... arXiv preprint arXiv:2003.14291, 2020 | | 2020 |
| Fame and Ultrafame: Measuring and comparing daily levels ofbeing talked about'for United States' presidents, their rivals, God, countries, and K-pop P Sheridan Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, ... arXiv, arXiv: 1910.00149, 2019 | | 2019 |
Peter Sheridan DoddsProfessor/Director, Computational Story Lab, Vermont Complex Systems Center, UVMVerified email at uvm.edu
